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Insulin Sensitivity as a Model-Based Marker for Sepsis Diagnosis

Fatanah, M. Suhaimi and Chase, J. Geoffrey and Pretty, G. Christopher and Shaw, M. Geoffrey and Normy Norfiza, A. Razak and Ummu Kulthum, Jamaludin (2015) Insulin Sensitivity as a Model-Based Marker for Sepsis Diagnosis. IFAC-PapersOnLine, 48 (20). pp. 372-376. ISSN 2405-8963

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Abstract

Sepsis is highly associated with microcirculatory dysfunction, which normally results in organ failure and increased risk of death. Importantly, early goal-directed therapy observed lower mortality rates in septic shock patients compared to those assigned to standard therapy. Currently, it is almost impossible to diagnose a patient at the onset of sepsis due to the lack of real-time metrics with high sensitivity and specificity. Patient condition is mostly determined by clinician experience and observation of patient reaction to treatment. In this study, a model-based insulin sensitivity profile is used to identify the relation between individual metabolic conditions to their sepsis status. The hour-to-hour variation of insulin sensitivity is highly independent of the treatment received by the patient and may represent a metabolic status for real-time diagnosis of sepsis. The hour-to-hour variation of insulin sensitivity profile is analyzed with sepsis score calculated according to the definition provided by ACCP/SCCM. P-values of various sepsis score group are computed using Mann-Whitney test. Cumulative distribution function of insulin sensitivity shows separation between different sepsis score and more distinguishable at a higher sepsis score compared to the lower sepsis score.

Item Type: Article
Additional Information: 9th IFAC Symposium on Biological and Medical Systems BMS 2015 — Berlin, Germany, 31 August-2 September 2015
Uncontrolled Keywords: Sepsis; Insulin Sensitivity
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 03 Dec 2015 01:45
Last Modified: 17 Jul 2019 02:52
URI: http://umpir.ump.edu.my/id/eprint/11198
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